M. Abderrahim, Asma BEN LETAIFA, Amel Haji, S. Tabbane
{"title":"基于博弈论的SDN网络有效网络管理","authors":"M. Abderrahim, Asma BEN LETAIFA, Amel Haji, S. Tabbane","doi":"10.1109/WAINA.2018.00117","DOIUrl":null,"url":null,"abstract":"Knowing the rapid growth of traffic in the mobile network, connected devices and the variety of services and applications run in recent years, the current network architecture no longer supports this increase in traffic. In this sense, we benefit from many technologies such as Software Defined Networking (SDN), Mobile Edge Computing (MEC) and new tools like Machine learning (ML) and artificial intelligence (AI) to propose a new architecture where we add a new intelligent entity that facilitates the management and efficient allocation of network resources. But, the placement of this node can present a problem. In this article, we formulate this problem using the Game Theory. First, we begin by presenting the technologies and tools used in this work. In the second place, we present the architecture model and do a modeling to find the optimal placement of Smart Node in the network. Then we propose a scenario to prove the usefulness of the proposed model.","PeriodicalId":296466,"journal":{"name":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","volume":"156 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Game Theory-Based Effective Network Management in SDN Networks\",\"authors\":\"M. Abderrahim, Asma BEN LETAIFA, Amel Haji, S. Tabbane\",\"doi\":\"10.1109/WAINA.2018.00117\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Knowing the rapid growth of traffic in the mobile network, connected devices and the variety of services and applications run in recent years, the current network architecture no longer supports this increase in traffic. In this sense, we benefit from many technologies such as Software Defined Networking (SDN), Mobile Edge Computing (MEC) and new tools like Machine learning (ML) and artificial intelligence (AI) to propose a new architecture where we add a new intelligent entity that facilitates the management and efficient allocation of network resources. But, the placement of this node can present a problem. In this article, we formulate this problem using the Game Theory. First, we begin by presenting the technologies and tools used in this work. In the second place, we present the architecture model and do a modeling to find the optimal placement of Smart Node in the network. Then we propose a scenario to prove the usefulness of the proposed model.\",\"PeriodicalId\":296466,\"journal\":{\"name\":\"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)\",\"volume\":\"156 3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WAINA.2018.00117\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAINA.2018.00117","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Game Theory-Based Effective Network Management in SDN Networks
Knowing the rapid growth of traffic in the mobile network, connected devices and the variety of services and applications run in recent years, the current network architecture no longer supports this increase in traffic. In this sense, we benefit from many technologies such as Software Defined Networking (SDN), Mobile Edge Computing (MEC) and new tools like Machine learning (ML) and artificial intelligence (AI) to propose a new architecture where we add a new intelligent entity that facilitates the management and efficient allocation of network resources. But, the placement of this node can present a problem. In this article, we formulate this problem using the Game Theory. First, we begin by presenting the technologies and tools used in this work. In the second place, we present the architecture model and do a modeling to find the optimal placement of Smart Node in the network. Then we propose a scenario to prove the usefulness of the proposed model.